SNADRC

This code calculates frame difference to detect moving object in video

bpsk、qam调制在高斯瑞利赖斯信道下的simulink仿真(In qam modulation BPSK, gaussian Rayleigh rice channel of simulink )

读国外机载天气雷达APR2数据，包括速度图和反射率图，色标可以换，和网站上公布的几乎一样哦(Read APR2 foreign airborne weather radar data and displays)

说明：  DFS优先算法Matlab代码，十分强大！(DFS first algorithm Matlab code is very powerful!)

MATLAB 6.5辅助小波分析与应用,以小波分析工具箱为基础，重点说明其应用(MATLAB 6.5 Auxiliary wavelet analysis and application of wavelet analysis-based toolkit, focus on the application)

这本 stevenkay 关于谱估计 信号检测 部分的英文书。 要想搞透信号估计，检测，，还是要看看这个的。 这个领域工作的人，若需要讨论，也可以找我。 毕竟能够和你讨论的人，非常少。希望我能帮上一点点。(This stevenkay spectrum estimation signal detection on the part of the English books. To estimate things through signals, detection, or to see that' s. People who work in this area, if necessary to discuss, you can find me. After all, who can discuss with you, very small. Hope I can be a little bit.)

feedback linerization slotine example 6-5

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

可以根据图中点的位置判断连接关系，然后搜寻图中的MDS（最小支配集合）(You can determine the connection between the position according to FIG midpoint, then search graph MDS (Minimum Dominating Set))

眼球血管偵測，利用Moment function完成(Eye blood vessel detection, completed by Moment function)